Data Quality Experts in Dusseldorf
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Meet FRATCH Experts in Dusseldorf, who have recently used Data Quality
Arndt Maas
Last position:
Project Manager for ServiceNow Vulnerability Response at Union Investment Services & IT GmbH
- Led the subproject for implementing Vulnerability Response as part of DORA
- Documented the current processes in compliance, risk & security
- Created the functional design for introducing application, infrastructure, and cloud vulnerabilities
- Agile management of the integration service provider, the technical department, and the company's cross-functional teams
- Integrated the V scanners Tenable, Qualys and Defender, as well as NVD and CISA/KEV
- Integrated GitLab Ultimate for importing and processing SBOMs
- Developed automation rules to match scan results with CIs in the CMDB, assign vulnerabilities and remediation tasks, handle approvals (false positives, exceptions) and closures
- Calculated multiple risk scores and priorities
- Defined dashboards and reports (Workspaces, Performance Analytics)
- Aligned the new processes, especially to improve the CMDB data quality (according to CSDM)
Sergei Minkov
Last position:
Program Manager / Program Lead (Contractor) at Telefonica
Program Manager for a radical architecture and IT transformation program (RAITT) reshaping the applications landscape (i.e. cloud transformation) and operating model into agile organisation.
- E2E readiness towards mass-market business division covering demand, delivery, test and roll-out phases
- Driving Telefonica internal teams and external system integrators to ensure delivery on time and in quality in adherence to defined processes
- Management of risks, issues and dependencies on program level
Ludo Prokop
Last position:
Senior Consultant at Insurance
- DWH modernization
- Migration from Informatica PowerCenter to IDMC/CDI
- Migration from IBM DB2 to Databricks
Technologies: Informatica IDMC, Databricks
Johann Merkel
Last position:
Project Manager at Staffing services provider with a focus on Finance & Controlling
- Building a central data model to consolidate data from CRM (ATS), online marketing, HR, and finance
- Integration of various data sources (including Sistrix, eTracker, HR Works, finance systems)
- Creation of a unified data basis for reporting and management
- Design and setup of the data structure
- Business analysis and definition of KPIs
- Coordination of data integration and alignment with business departments
- Consolidation and normalization of heterogeneous data sources
- Building an initial prototype in Excel
- Further development and implementation in Microsoft Power BI
- Central, consolidated data basis across multiple business areas
- Transparent management of CRM/ATS, marketing, HR, and finance KPIs
- Establishment of scalable BI reporting based on Power BI
Archana Ravikumar
Last position:
Power BI Assistant at Cataliquent Projekt GmbH
- Evaluate, design, and implement Power BI solutions for Cat4 reporting, significantly improving reporting efficiency, accuracy, and stakeholder visibility.
- Develop and maintain robust data integration interfaces between Cat4 and Power BI, eliminating manual processing bottlenecks.
- Configure and continuously optimise Power BI reports to deliver sharper management insights and support data-driven decision-making.
- Ensure full GDPR data protection compliance across Power BI reports, proactively identifying and mitigating risks.
- Acquired in-depth product knowledge of CAT4, a globally deployed enterprise platform, enabling effective requirements analysis, solution design, and seamless Power BI integration across client environments.
- Developed and integrated scalable reporting templates within the CAT4 product interface, delivering new product features and enhancing data visualisation, reporting efficiency, and stakeholder visibility across global users.
- Trained and mentored staff on Power BI configuration and best practices, accelerating adoption and embedding a data-driven culture.
- Prepared clear technical documentation and delivered hands-on demonstrations to end users and clients, ensuring smooth adoption and confident use of Power BI solutions integrated with CAT4.
- Researched and recommended licensing strategies for cost-effective and scalable Power BI deployment.
SKILLS - BI & Visualisation: Power BI (Desktop, Service, Report Builder), DAX, Power Query
Project and Product Management Tool: CAT4
Matthias Metzlaff
Last position:
Project Manager at HSBC
- Project manager for banking projects
Orhan Yazar
Last position:
SAP Senior Consultant OTC/MM/WM/LE/CS/PS/GTS, C4C-Cloud (Sales, Services, E-Commerce) at High-Technologie
- Support and consulting for the integration of SAP ECC into an SAP S/4HANA system, retirement of legacy systems, implementation, and process optimization in the new harmonized system
- Project implementation of S/4HANA Cloud Private & Public Sales & Services with SAP SCM/OTC/MM/LE/CS/PS, S/4HANA Cloud, CPI, BTP, EDI, IDOC, ABAP, User-Exit, SolMan, ITIL, SAP Cloud AL
- Customizing and optimization in OTC and MM, including condition maintenance, document type and item category extensions, integration with FI/CO, scheduling agreement configuration, material master and purchasing info record maintenance, release procedures, message control, and master data quality
- Ensuring integration of PTP with FI/CO, SD, and WM, process analysis, and efficiency improvement for the S/4HANA environment
- Process modeling in Signavio, workshops, and trainings
- 2nd & 3rd level support in OTC, MM, CS, PS, C4C Sales & Services, GTS, and MDG: incident and change tickets, feasibility analyses, service management, embedded analytics, customizing, tests, documentation, training, debugging, IDOC/EDI monitoring
- SAP S/4HANA migration: data migration, system harmonization, global rollouts, and template development
- ABAP development and optimization: reports, dialog programs, user exits, IDOC/EDI monitoring
Wolfgang Schenk
Last position:
CIO / CDO / Project Manager AI Academy / Auditor of Operational Processes / Product Owner MS365 at F&P Executive Solutions AG
- Digitalization of accounting, signature/approval, and onboarding processes
- Restructuring of the IT department
- Introduction of a digital sales tool
- Implementation of an AI webinar series
- Introduction and optimization of information security
- Administration and optimization of the MS Office 365 environment
Dennis Schelberg
Last position:
Third Party Risk Management at Ergo Group
- Processing entries in the Third Party Risk Management (TPRM) process
- Conducting clean-ups of existing business relationships
- Creating, processing, and documenting requests
- Reviewing entries from process participants based on existing files
- Collaborating with risk SMEs (Subject Matter Experts) and vendor contacts
- Working closely with procurement, information security, and data protection to align business requirements
- Implementing regulatory requirements (VAIT, DORA) and ensuring compliance and risk management
Dominik Meyenburg
Last position:
Data Solution Architect at Dormakaba (Switzerland)
- Leading the MDM and Idea to Market team in implementing an SAP Master Data Governance solution and PTC Windchill integration as part of a global S/4 HANA transformation
- Independently managing workshops within the end-to-end streams
- Developing a state-of-the-art business partner and material master data design to enable AI-supported business decisions
- Designing and implementing template data management processes for a global S/4 HANA SAP system
Aziz Ajrir
Last position:
Senior Data Scientist & AI Engineer Consultant at Lialab SAS
- At Groupama: Developed multiple chatbots using Retrieval-Augmented Generation (RAG) to optimize internal processes and customer communication.
- At PwC: Set up an AI lab and developed various AI use cases.
- At La Poste: Analyzed and improved data quality in the data lake.
- At ARTE TV: Built a recommendation system using NLP for better content discovery.
Peter Hiebl
Last position:
Product Owner / Senior Business Analyst at Freelance management consultant
- Analysis of the possibility of extracting market location data into a separate microservice within an overarching web portal
- Developing a more user-friendly target process based on the current process in coordination with the users
- Coordinating the related architecture concept with architects and developers
- Aligning the related epics and user stories with the relevant departments
- Backlog prioritization and project planning (incl. effort estimation)
- Testing and accepting the implemented user stories
- Technologies/Tools used: MS Office, Jira, Mural, Kotlin, React, GitHub, MS Azure, SQL, Postman, XML, JSON, Kafka, Balsamiq, BPMN
Ehsan Meisami
Last position:
BI Developer at Telecommunications Infrastructure
- Gather and analyze requirements in close collaboration with business units to develop data-driven solutions and scalable PowerBI reporting infrastructures.
- Perform detailed debugging and optimize existing semantic and data models to ensure a robust data architecture, high data quality, and improved PowerBI reporting.
- Design and implement scalable ETL processes for data preparation and integration.
- Create a wiki for table and view descriptions as well as PowerBI PowerQuery and KPI documentation to ensure a consistent understanding of data structures and metrics.
Emil Kass
Last position:
Specialist Consultant – Life Science & Healthcare at Monitor Deloitte
- Developed a global data-governance model for a leading pharma client, aligning stakeholders across 10+ markets to standardize workflows, improve data quality, and prepare organizational AI readiness for analytics and AI-powered tools
- Developed and executed a success plan to optimize incentive design and drive behavioral adoption of a new sales model through benchmarking, stakeholder engagement, and performance reviews
- Designed a future-state service-governance framework for a global tech client, clarifying ownership between central and local teams to enable scalable adoption, efficiency, and standardized customer experience
Ronny Herold
Last position:
Förderbank Deutschland
- Extraction and transformation of relevant data from the SAP system developed for the bank and consolidation into the existing reporting environment
- Integration of the data into the existing BI model (extending the star schema to a galaxy schema) for generating the funding committee report and the business development report
- Ensuring data quality
- Knowledge transfer to department staff (SAP, SQL database, Power Pivot, DAX)
Discover over 15,000 top freelancers
Statistics of experts using Data Quality
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 16 years)
Position duration
2.1 years (Germany: 3 years)
Positions per freelancer
10
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
85% (Germany: 96%)
Master's degree or higher
69% (Germany: 68%)
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Dusseldorf are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Dusseldorf using Data Quality
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Data you can trust
Data Quality is the discipline that keeps data complete, consistent, accurate, and fit for use. It supports reporting, analytics, machine learning, and operational processes where bad records quickly create wrong decisions. Strong work in this area turns unreliable data into something teams can trust.
Typical work
- Define quality rules for source and target data
- Check completeness, uniqueness, freshness, and validity
- Set up monitoring for broken pipelines and bad inputs
- Triage defects and trace them back to root causes
- Document data standards for business and technical teams
Tools and ecosystem
In practice, Data Quality work often connects with SQL, dbt tests, Great Expectations, Informatica, Talend, Collibra, and cloud warehouses. Specialists also work with catalogs, lineage tools, and alerting so issues can be found early and explained clearly. The best setups fit the team’s stack, not the other way around.
When to bring in experts
Companies usually need outside help when data is growing fast, reports no longer match, or a new platform is going live. In Dusseldorf, this is common in retail, logistics, finance, and industrial environments where many systems feed the same data model. Freelance support helps teams stabilize standards without slowing delivery.
What strong specialists do
Strong professionals do more than write checks. They understand source systems, downstream reports, and the business meaning behind a field, then design controls that catch the right problems.
- Work with data owners and analytics teams
- Separate symptoms from root causes
- Balance strict rules with practical operations
- Improve quality without creating noise
Quality signals
A strong Data Quality specialist leaves clear rules, readable checks, and practical documentation behind. They can explain why a metric failed, what action fixes it, and how to prevent the issue from returning. That is the difference between one-off cleanup and lasting control.
Frequently asked questions
Before you brief your next project: the most common questions about Data Quality.
A strong Data Quality specialist defines checks that keep data accurate, complete, and usable. That usually includes validation rules, exception handling, root-cause analysis, and documentation that helps teams maintain the same standards over time. The goal is not just to find bad data, but to stop it from spreading into reports and processes.
Data Quality focuses on the rules and controls that tell you whether data is fit for use. Data observability is broader and watches for signs that something may be wrong, such as volume shifts, freshness gaps, or schema changes. In many teams, the two work together: observability spots the issue, and quality rules define what should happen next.
A Data Quality professional often uses SQL, dbt tests, Great Expectations, and platform tools from vendors such as Informatica or Talend. The exact stack depends on where the data lives and how the team ships it. Good work also includes clear naming, lineage awareness, and simple alerting that people actually use.
A Data Quality project can start small, but it still needs someone who understands source systems and downstream reporting. Simple checks are easy to write; the harder part is choosing the right rules and avoiding false alarms. If the project touches many data sources or business-critical reports, seasoned specialist support matters.
Yes, most Data Quality work can be done remotely because the tasks are often based on SQL, documentation, and review sessions. On-site time can help when the specialist needs to map business definitions with local teams or inspect operational workflows. Many engagements work best with a mix of remote delivery and focused workshops in Dusseldorf.
A strong Data Quality freelancer should also understand SQL, data modeling, ETL or ELT flows, and basic analytics tooling. Knowledge of governance, lineage, and warehouse platforms is often useful too. The best specialists can talk to both technical teams and business owners without losing the meaning of the data.
Look for clear thinking, not just tool knowledge. A good Data Quality specialist can explain the business impact of a failed check, show how a rule maps to a real data risk, and leave behind maintainable logic. Ask for examples of root-cause fixes, not only detection scripts.
Bring in Data Quality help when data issues keep returning, when a new platform is being launched, or when reporting trust has broken down. Outside support is also useful when internal teams are too busy to design proper controls. In that case, a freelancer can stabilize the rules and hand them over cleanly.
The average hourly rate of freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects is 108 €, which corresponds to a daily rate of about 865 € based on an 8-hour working day.
Of the freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects, 85% hold at least a Bachelor's degree and 69% hold at least a Master's degree.
On average, freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects are German (100%), English (94%), and Spanish (13%).
The most common industries among freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects are Information Technology (69%), Professional Services (63%), and Banking and Finance (44%).
The most common business areas among freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects are Information Technology (94%), Business Intelligence (75%), and Project Management (75%).
Main locations of FRATCH Experts, who have recently used Data Quality
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Hanover 
Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
